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DeepSeek VL2 Tiny vs QwQ-32B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 17.2% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 21 common benchmarks
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DeepSeek VL2 Tiny
Average Score:42.1%(+17.2%)
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QwQ-32B
Average Score:24.9%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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QwQ-32B
0 providers
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DeepSeek VL2 Tiny
Avg Score:42.1%(+17.2%)
Providers:0
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QwQ-32B
Avg Score:24.9%
Providers:0